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Data Engineer(Bentonville, AR)office from day 1 at Bentonville, Arkansas, USA
Email: [email protected]
From:

ashok,

hclglobal

[email protected]

Reply to: [email protected]

Data Engineer

Location: This is based out of Bentonville, AR and candidate is expected to be in office from day 1

Onsite Requirement - Y

Please share resume. Feel free to reach for any clarification.

Must have skills.

Overall Experience level:

8+ years in IT with min 6+ years of Data Engineering and Analyst experience.

6+ Hadoop/Big Data

4+ years of hands-on experience in Scala

4+ years of experience in writing and tuning SQLs, Spark queries

Mandatory if Applicable

Domain Experience (If any ) Retail

Description:

As a Senior Data Engineer at UST Global, this is your opportunity to

Assembling large to complex sets of data that meet non-functional and functional business requirements

Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes

Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using GCP/Azure and SQL technologies

Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition

Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues

Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues

Strong background in data warehouse design

Overseeing the integration of new technologies and initiatives into data standards and structures

Strong Knowledge in Scala, Spark, PySpark, Python, SQL

Experience in Cloud platform(GCP/Azure) data migration Source/Sink mapping, Build pipelines, work flow implementation, ETL and data validation processing

Strong verbal and written communication skills to effectively share findings with shareholders

Experience in Data Analytics, optimization, machine learning techniques is added advantage

Understanding of web-based application development tech stacks like Java, Reactjs, NodeJs is a plus

Key Responsibilities

20% Requirements and design

60% coding & testing and 10% review coding done by developers, analyse and help to solve problems

10% deployments and release planning

You bring:

Bachelors degree in Computer Science, Computer Engineering or a software related discipline. A Masters degree in a related field is an added plus

6 + years of experience in Data Warehouse and Hadoop/Big Data

3+ years of experience in strategic data planning, standards, procedures, and governance

4+ years of hands-on experience in Scala

4+ years of experience in writing and tuning SQLs, Spark queries

3+ years of experience working as a member of an Agile team

Experience with Kubernetes and containers is a plus

Experience in understanding and managing Hadoop Log Files.

Experience in understanding Hadoop multiple data processing engines such as interactive SQL, real time streaming, data science and batch processing to handle data stored in a single platform in Yarn.

Experience in Data Analysis, Data Cleaning (Scrubbing), Data Validation and Verification, Data Conversion, Data Migrations and Data Mining.

Experience in all the phases of Data warehouse life cycle involving Requirement Analysis, Design, Coding, Testing, and Deployment., ETL Flow

Experience in architecting, designing, installation, configuration and management of Apache Hadoop Clusters

Experience in analyzing data in HDFS through Map Reduce, Hive and Pig is a plus

Experience building and optimizing big data data pipelines, architectures and data sets.

Strong analytic skills related to working with unstructured datasets

Experience in Migrating Big Data Workloads

Experience with data pipeline and workflow management tools: Airflow

Cloud Administration

For this role, we value:

The ability to adapt quickly to a fast-paced environment

Excellent written and oral communication skills

A critical thinker that challenges assumptions and seeks new ideas

Proactive sharing of accomplishments, knowledge, lessons, and updates across the organization

Experience designing, building, testing and releasing software solutions in a complex, large organization

Demonstrated functional and technical leadership

Demonstrated analytical and problem-solving skills (ability to identify, formulate, and solve engineering problems)

Keywords: information technology Arkansas
Data Engineer(Bentonville, AR)office from day 1
[email protected]
[email protected]
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Tue Oct 22 20:40:00 UTC 2024

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Location: Bentonville, Arkansas